Detection And Tracking of TheftVehicle

Authors

  • MOHAMMED ASIF Associate Professor, ECE Department, KKR & KSR Institute of Technology and Sciences
  • MUPPARLA BARNABA UG Students, ECE Department, KKR & KSR Institute of Technology and Sciences
  • KONAGANTI RAJENDRA BABU UG Students, ECE Department, KKR & KSR Institute of Technology and Sciences
  • PEETHAMBARAM OM PRAKASH UG Students, ECE Department, KKR & KSR Institute of Technology and Sciences
  • DR. SHAIK. KHAMURUDDEEN UG Students, ECE Department, KKR & KSR Institute of Technology and Sciences

Keywords:

Tracking, Capturing of theft vehicles

Abstract

In this paper presents ‘Detection and tracking of theft vehicle’. The aim is to design a system that can able to capture the image of an unauthorized person and transmit it toa remote location. This project can be used for the recovery of the automobiles. And the owner can be able to stop the vehicle by sending one message to system. And we can be able to identify the face of the thief also. The microprocessor acts as the controlling head of the system. When the system goes in Theft mode the authorized user gets the alert message and user will Able to stop the vehicle engine immediately via sending SMS to system with ‘STOP’ Keyword. The system includes a GPS modem that vehicle location in the form of latitude and longitude. This location can be accessed via SMS that is being sent to the user. With the help latitude and longitude information SMS user will able to locate vehicle with Google map. This system proves very beneficial for transport and travel companies as they can now keep track of their vehicles. It will also scan the face through the camera and send the message to the owner. By using GPS and GSM technologies enable the vehicle owners to track and monitor the vehicle at anytime from anywhere. During GPS outage environment, Inertial Navigation Sensor is used that contains 3- axis magnetometer and accelerometer which inform the vehicle positions to the owner.

References

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Published

2023-05-20

How to Cite

ASIF, M., BARNABA, M., BABU, K. R., PRAKASH, P. O., & KHAMURUDDEEN, D. S. (2023). Detection And Tracking of TheftVehicle. International Journal of Communication and Computer Technologies, 9(2), 6–11. Retrieved from https://ijccts.org/index.php/pub/article/view/139

Issue

Section

Research Article